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Modulating Functions Based Algorithm for the Estimation of the Coefficients and Differentiation Order for a Space-Fractional Advection-Dispersion Equation
Author(s) -
Abeer Aldoghaither,
DaYan Liu,
TaousMeriem LalegKirati
Publication year - 2015
Publication title -
siam journal on scientific computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.674
H-Index - 147
eISSN - 1095-7197
pISSN - 1064-8275
DOI - 10.1137/15m1008993
Subject(s) - mathematics , mathematical analysis , robustness (evolution) , algebraic equation , partial differential equation , dispersion (optics) , convergence (economics) , rate of convergence , nonlinear system , optics , economics , gene , economic growth , biochemistry , chemistry , physics , channel (broadcasting) , electrical engineering , engineering , quantum mechanics
In this paper, a new method, based on the so-called modulating functions, is proposed to estimate average velocity, dispersion coefficient, and differentiation order in a space-fractional advection-dispersion equation, where the average velocity and the dispersion coefficient are space-varying. First, the average velocity and the dispersion coefficient are estimated by applying the modulating functions method, where the problem is transformed into a linear system of algebraic equations. Then, the modulating functions method combined with a Newton's iteration algorithm is applied to estimate the coefficients and the differentiation order simultaneously. The local convergence of the proposed method is proved. Numerical results are presented with noisy measurements to show the effectiveness and robustness of the proposed method. It is worth mentioning that this method can be extended to general fractional partial differential equations

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